5:30 午後 - 6:30 午後 (UTC)

This module provides engineers with the skills to begin building agents with Azure AI Agent Service. Learning objectives By the end of this module, you'll be able to: Describe the purpose of AI agents Explain the key features of Azure AI Agent Service Build an agent using the Azure AI Agent Service Integrate an agent in the Azure AI Agent Service into your own application Follow along with the content Develop an AI agent with Azure AI Agent Service Explore more resources Build secure and responsible AI solutions and manage generative AI lifecycles Create agentic AI solutions by using Azure AI Foundry Practical Foundation for AI Agents: A Developer's Guide on Azure AI Foundry, Apps, and Data

5:30 午後 - 6:30 午後 (UTC)

Built-in tools are useful, but they may not meet all your needs. In this module, learn how to extend the capabilities of your agent by integrating custom tools for your agent to use. Learning objectives By the end of this module, you'll be able to: Describe the benefits of using custom tools with your agent. Explore the different options for custom tools. Build an agent that integrates custom tools using the Azure AI Agent Service. Follow along with the content Integrate custom tools into your agent Explore more resources Build secure and responsible AI solutions and manage generative AI lifecycles Create agentic AI solutions by using Azure AI Foundry Practical Foundation for AI Agents: A Developer's Guide on Azure AI Foundry, Apps, and Data

2:30 午後 - 3:30 午後 (UTC)

This module provides engineers with the skills to begin building Azure AI Agent Service agents with Semantic Kernel. Learning objectives By the end of this module, you'll be able to: Use Semantic Kernel to connect to an Azure AI Foundry project. Azure AI Agent Service agents using the Semantic Kernel SDK. Integrate plugin functions with your AI agent.

5:30 午後 - 6:30 午後 (UTC)

Learn how to use the Semantic Kernel SDK to develop your own AI agents that can collaborate for a multi-agent solution. Learning objectives By the end of this module, you'll be able to: Build AI agents using the Semantic Kernel SDK Develop multi-agent solutions Create custom selection and termination strategies for agent collaboration Follow along with the content Orchestrate a multi-agent solution using Semantic Kernel Explore more resources Build secure and responsible AI solutions and manage generative AI lifecycles Create agentic AI solutions by using Azure AI Foundry Practical Foundation for AI Agents: A Developer's Guide on Azure AI Foundry, Apps, and Data